ReviewCurrent opinion in nephrology and hypertension2019
The kidney transcriptome, from single cells to whole organs and back.
Review in Current opinion in nephrology and hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 15 citations in OpenAlex.
- Modeling development of genitourinary birth defects to understand disruption due to changes in gene dosage.American journal of clinical and experimental urology · 2022Review
- The study of single cells in diabetic kidney disease.Journal of nephrology · 2021Review
- Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments.Nature genetics · 2021Article
- Single-cell mapper (scMappR): using scRNA-seq to infer the cell-type specificities of differentially expressed genes.NAR genomics and bioinformatics · 2021Article
- Kidney Histopathology and Prediction of Kidney Failure: A Retrospective Cohort Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
purpose of reviewTranscriptome analysis of human kidney samples provides an integrated output of genetic, physiological, or environmental inputs. This review summarizes recent findings including gene expression and genetic variation integration, bulk and single cell gene expression analysis, and describes how such studies have improved our understanding of kidney disease development. RECENT
findingsBulk or whole tissue analysis of patient kidney samples identified a large number of genes, whose levels correlate with kidney function and/or structural damage. These genes were enriched for metabolic and immune functions. Using expression quantitative trait analysis, genetic variations-driven gene expression can be identified. Recent developments in single cell sequencing defined cell-type-specific gene expression changes and highlighted specific cell types for disease development. SUMMARY: Recent advancement in whole tissue transcriptomics, specifically incorporating genotype information and single cell data have been powerful to identify kidney disease-associated genes, pathways, and cell types.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.